Taking a look under your agent’s hood

Observability vendors like Datadog are racing to extend monitoring from production into agent development loops, security, and token-level ROI.

• Agents are distributed systems: Yanbing Li frames AI agents as distributed systems powered by nondeterministic models, meaning traditional logging/metrics/traces/events still apply but new layers (prompts, tool calls, reasoning traces) are added.
• Continuous monitoring replaces deploy-then-fix: Unlike traditional software's build-then-production-feedback cycle, agents need continuous evaluation because exhaustive pre-deployment verification is impossible, per Li.

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